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. 2019 Dec 1;16(23):4832. doi: 10.3390/ijerph16234832

Table A5.

Conditional cigarette affordability elasticities of demand by subgroups.

Characteristic Observations ln(RIP) 95% CIs Other Variables
Age group
45–59 2292 −0.167 *** (−0.227 to −0.108) Control
60 + 1965 −0.281 *** (−0.316 to −0.245) Control
Gender
Male 4009 −0.230 *** (−0.264 to −0.197) Control
Female 248 −0.169 *** (−0.269 to −0.068) Control
Education level
Primary and below 2089 −0.280 *** (−0.320 to −0.240) Control
Middle and high school 2010 −0.173 *** (−0.232 to −0.115) Control
College and above 158 −0.106 (−0.322 to 0.110) Control
Marital status
Unmarried 383 −0.257 *** (−0.346 to −0.167) Control
Married 3874 −0.224 *** (−0.257 to −0.191) Control
Economic Region
Eastern region 1509 −0.257 *** (−0.317 to −0.197) Control
Northeast region 331 −0.121 *** (−0.210 to −0.031) Control
Central region 1307 −0.227 *** (−0.278 to −0.175) Control
Western region 1110 −0.218 *** (−0.268 to −0.168) Control
Residential zone
Rural 2163 −0.250 *** (−0.287 to −0.214) Control
Urban 2094 −0.199 *** (−0.251 to −0.146) Control
Cigarette price tier
Tier I 180 −0.392 *** (−0.636 to −0.148) Control
Tier II 166 −0.334 *** (−0.577 to −0.091) Control
Tier III 1459 −0.279 *** (−0.344 to −0.213) Control
Tier IV 1937 −0.217 *** (−0.255 to −0.180) Control
Tier V 515 −0.156 *** (−0.220 to −0.093) Control

Note: (1) The statistics reported are coefficients of independent variables. (2) *** indicate statistical significance at the 1%, 5% and 10% level, respectively. (3) The results for other independent variables in regression are not included in the table due to word limit. Such variables include age group (Age ≥ 60), gender (female), education level (primary and below; middle and high school), marital status (married), economic regions (Northeast region, Central region and Western region), residential zone (urban), cigarette price tiers (Tier I, II, IV, V) and survey wave (wave 3). (4) The control variables are same within one subgroup, but different among subgroups. Control variables used for grouping were not included in each of the subgroup regressions. For example, we exclude the age group (Age ≥ 60) variable when performing estimates by age subgroups. (5) Results were estimated by using measure #2 of RIP.